{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "14450fbd",
   "metadata": {},
   "source": [
    "## 通用物体和场景识别\n",
    "### 鉴权认证机制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7c79c8de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.0d656b81609ea013a45c2a2aa2c37dff.315360000.1964438743.282335-25904767', 'expires_in': 2592000, 'session_key': '9mzdD0XyHvk6jYzVzg5Dl8bj/fk467hst3+XN4NuOTgGAUISwHVL2tUJ2sqUAEm4JrYvRWTXuMRKiQEFsrekZ0rsGJA8vA==', 'access_token': '24.4a18820da9f540a63056aa3286751a73.2592000.1651670743.282335-25904767', 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online', 'session_secret': '6b6067032f636254acce7afb41870484'}\n"
     ]
    }
   ],
   "source": [
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=pvh7wPOgAIre2V2orb9XtF3g&client_secret=ly3SvdsltQenkt0haP9LGcNSG6e3wCSR'\n",
    "\n",
    "response = requests.get(host)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "59aa5779",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'refresh_token': '25.0d656b81609ea013a45c2a2aa2c37dff.315360000.1964438743.282335-25904767',\n",
       " 'expires_in': 2592000,\n",
       " 'session_key': '9mzdD0XyHvk6jYzVzg5Dl8bj/fk467hst3+XN4NuOTgGAUISwHVL2tUJ2sqUAEm4JrYvRWTXuMRKiQEFsrekZ0rsGJA8vA==',\n",
       " 'access_token': '24.4a18820da9f540a63056aa3286751a73.2592000.1651670743.282335-25904767',\n",
       " 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online',\n",
       " 'session_secret': '6b6067032f636254acce7afb41870484'}"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "response.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "bc2767c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.4a18820da9f540a63056aa3286751a73.2592000.1651670743.282335-25904767'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "access_token = response.json()['access_token']\n",
    "access_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "7b0bc223",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8c7c8be1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>参数</th>\n",
       "      <th>是否必选</th>\n",
       "      <th>类型</th>\n",
       "      <th>可选值范围</th>\n",
       "      <th>说明</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>image</td>\n",
       "      <td>和url二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>url</td>\n",
       "      <td>和image二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>baike_num</td>\n",
       "      <td>否</td>\n",
       "      <td>integer</td>\n",
       "      <td>-</td>\n",
       "      <td>返回百科信息的结果数，默认不返回</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          参数       是否必选       类型 可选值范围  \\\n",
       "0      image    和url二选一   string     -   \n",
       "1        url  和image二选一   string     -   \n",
       "2  baike_num          否  integer     -   \n",
       "\n",
       "                                                  说明  \n",
       "0  图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...  \n",
       "1  图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...  \n",
       "2                                   返回百科信息的结果数，默认不返回  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_html('https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21')[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a0e7754b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'result_num': 5, 'result': [{'keyword': '树', 'score': 0.238264, 'root': '植物-树'}, {'keyword': '玉米地', 'score': 0.180793, 'root': '植物-植物园'}, {'keyword': '天空', 'score': 0.124964, 'root': '自然风景-天空'}, {'keyword': '风景', 'score': 0.063464, 'root': '自然风景-其他'}, {'keyword': '稻田', 'score': 0.002932, 'root': '植物-其它'}], 'log_id': 1510971908432723867}\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('tiankong.jpg', 'rb')#相对路径，rb:read bytes读取二进制文件格式\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img}\n",
    "access_token = access_token\n",
    "request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3adb6825",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'result': [{'name': '美系秋田犬', 'score': '0.42305'}, {'name': '中华田园犬', 'score': '0.38419'}, {'name': '中亚牧羊犬', 'score': '0.0592626'}, {'name': '日本秋田犬', 'score': '0.0210717'}, {'name': '拉布拉多', 'score': '0.0121842'}, {'name': '边境牧羊犬', 'score': '0.011665'}], 'log_id': 1510971913736165086}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "动物识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v1/animal\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('gougou.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img}\n",
    "access_token = access_token\n",
    "request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a6290b0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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